AI Visibility Scorecard
multipletopicsresearch.com · Technology
Borderline visible. AI bots can crawl multipletopicsresearch.com, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 5 times
Claude · Meta AI · ShapBot
#1,299,613 of 2,705,580 in Technology for AI visibility
<1
4
AEO Visibility
iBorderline · 4/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
28
AI Adoption
iBasic · 28/100
from multipletopicsresearch.com
In previous experiments we have conducted on the Search Engine Manipulation Effect (SEME), we have focused on the ability of biased search results to shift voting preferences. In three new experiments
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Fair
Inbound links from other sites.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4/10, multipletopicsresearch.com is crawlable but under-signaled - fixable, and the signals above are where to start.
3. Experiment 2. Can biased search results shift people’s views about fracking?
3.1 Methods 3.1.1 Participants.394 participants were recruited online from MTurk during March 2016. The mean age of our participants was 32.9 (SD = 10.2). 52.0% (n = 205) of our participants identified themselves as female and 48.0% (n = 189) as male. For detailed information about basic demographic characteristics, see S1 Table.
4. Experiment 3. Can biased search results shift people’s views about sexual orientation?
4.1 Methods 4.1.1 Participants.365 participants were recruited online from MTurk during March 2016. The mean age of our participants was 32.8 (SD = 10.6). 55.9% (n = 204) of our participants identified themselves as female and 44.1% (n = 161) as male. For detailed information about basic demographic characteristics, see S1 Table.
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/multipletopicsresearch
Cite this score: Engagemii (2026). "AEO Score for multipletopicsresearch.com." Retrieved from https://engagemii.com/aeo/brands/multipletopicsresearch
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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